Sex determination in ostrich (<i>Struthio camelus</i>) using DNA markers
Bibliographic record
Abstract
Production of bird species such as ostrich (Struthio camelus) has been gaining increasing importance in Iran as well as many other countries. Ostrich, similar to many other species of birds, lacks sexual dimorphism, making it difficult to differentiate between males and females, especially at an early age, which can be problematic in breeding programs. Recently developed molecular genetic methods that utilize polymerase chain reaction (PCR) based techniques can facilitate rapid identification of the bird’s sex in these species using a DNA sample, which can be easily extracted from blood or feather pulps. We successfully applied a PCR-based RFLP technique and sex chromosome primers for sex determination in a sample of 30 Ostrich chicks using DNA extracted from blood and feather pulps. Both DNA samples (blood and feather pulps) provided useful results. However, using feather pulps from 1-day-old chicks can provide an easy and inexpensive method for sex determination in ostrich. Key words: Ostrich (struthio camelus), sex determination, sexual dimorphism, polymerase chain reaction, RFLP
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".